Photonic integrated circuits in biochemical food analysis

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Chester Flynn
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1 Photonic integrated circuits in biochemical food analysis

What is Photonics? Page 2 Photonics is the physical science of light generation, detection, and manipulation through e.g. transmission, modulation, filtering, amplification.

2 What is Photonics? Page 2 Photonics is the physical science of light generation, detection, and manipulation through e.g. transmission, modulation, filtering, amplification. Most photonic applications are in the range of visible and near-infrared light.

3 Page 3 What is a PIC? In optical systems, laser light is generated, transmitted through fibers or waveguides, processed with different elements like filters or modulators, and detected with photodiodes. Photonic integration technology allows to miniaturize a complete optical system into a photonic chip (PIC), similar to electronic integration.

Easier to make hermetic and avoid contamination. More stable in temperature.

4 Advantages of PICs Page 4 Smaller size and weight. Easier to assembly and package. Mechanically more robust. Easier to make hermetic and avoid contamination. More stable in temperature. Able to easily increase number of components in system. Able to scale up production to large volumes and lower cost.

5 Page 5 PICs for visible light Most of the PICs work with infrared wavelengths of light (~1550 nm), as these are optimal for optical fiber communications, the largest market. However, sensing for biochemical and medical applications usually requires lower wavelengths of light, in the visible range ( nm).

6 Page 6 APPLICATIONS for visible light PICs Lab on a chip DNA sequencing & opto-genetics Diagnostic devices Microscopy and cytometry Healthcare & biochemistry Medical instrumentation (e.g. optical tomography, spectroscopy)

7 Food analysis Page 7 Detection of cross-contamination of ingredients in production lines. Detection of toxins and pathogenic agents. Food microscopy. Industrial spectroscopy and miniaturized spectrometers for biochemical analysis. Fluorescence sensing.

Page 8 Spectroscopy for food analysis ABSORBANCE

wavelengths absorbed when light is transmitted through.

for ripeness, internal rot, pests and defects.

color, adulteration Milk: fat, protein and casein

crocin, picrocrocin and safranal Vegetable oils:

8 Page 8 Spectroscopy for food analysis ABSORBANCE Explore chemical composition of a food via the wavelengths absorbed when light is transmitted through. Mostly used for liquids, but also for inspecting fruit for ripeness, internal rot, pests and defects. Examples: Fruit juices: soluble solids content, ph, color, adulteration Milk: fat, protein and casein content Saffron: ISO 3632 quality method to measure crocin, picrocrocin and safranal Vegetable oils: identity, adulteration, acid value, peroxide value Wine: quality, phenols, tannins, methanol content

Page 9 Spectroscopy for food analysis REFLECTANCE Explore chemical

Penetration depends on wavelength, power, and sample composition.

lower-grade crabmeat Fruit: variety, ripeness, sugar content,

pasture-fed from concentrate-fed livestock Purees: adulteration of

9 Page 9 Spectroscopy for food analysis REFLECTANCE Explore chemical composition of a food via the wavelengths reflected when lighted. Penetration depends on wavelength, power, and sample composition. Examples: Crabmeat: substitution with surimi-based imitations and lower-grade crabmeat Fruit: variety, ripeness, sugar content, soluble solid content, internal pests Meat: distinguishing pasture-fed from concentrate-fed livestock Purees: adulteration of strawberry or raspberry with lower-cost apple Whole grains: protein, moisture, oil content

Page 10 Spectroscopy for food analysis NIR SPECTROSCOPY Non-destructive probing of

Chicken quality: detecting thawed versus fresh cuts; artificially boosted water

10 Page 10 Spectroscopy for food analysis NIR SPECTROSCOPY Non-destructive probing of vibrational overtone absorption of chemical bonds, requiring later chemometric analysis for evaluating composition. Similar to reflectance and absorbance, but deeper penetration of Near InfraRed (NIR) Light. Examples: Adulterated ground beef: detecting mutton, pork, organs and fillers Chicken quality: detecting thawed versus fresh cuts; artificially boosted water content Fraudulent labeling of fish: identification of fish species without DNA testing Fruit quality: screening for core rot, internal pests and ripeness Gluten screening: sorting unprocessed grains with NIR and machine vision

Page 11 Spectroscopy for food analysis FLUORESCENCE Uses the native

containing information about the sample components, and its analysis may

Different excitation wavelengths may be used to build up a fluorescence

Examples: Cheese: variety, manufacturing method, geographic origin and

11 Page 11 Spectroscopy for food analysis FLUORESCENCE Uses the native fluorophores in food products to detect the presence or concentration of those components. Fluorescence spectra are composed of broad, overlapping emission bands containing information about the sample components, and its analysis may look for changes in intensity, wavelength or bandwidth. Different excitation wavelengths may be used to build up a fluorescence excitation-emission matrix. Examples: Cheese: variety, manufacturing method, geographic origin and degree of aging Eggs: freshness Food and animal feed: mycotoxins in nuts, grains, dried fruits and spices Fruit: fecal matter contamination of peel Meat: quantification of fat, bone, cartilage and connective tissue

Page 12 Spectroscopy for food analysis Surface-enhanced Raman spectroscopy (SERS) Used for trace detection of harmful compounds in foods, from pathogens to antifungal dyes, antibiotics and pesticides.

12 Page 12 Spectroscopy for food analysis Surface-enhanced Raman spectroscopy (SERS) Used for trace detection of harmful compounds in foods, from pathogens to antifungal dyes, antibiotics and pesticides. SERS substrates may be gold, silver or gold-silver alloy-based, and can be made even more specific through functionalizing ligands specific to a particular pathogen. Examples: Banned antifungal agents used in aquaculture: crystal violet and malachite green Food dyes: Sudan 1, a carcinogenic, mutagenic dye used to boost color of chili powder Pathogens: Salmonella enterica and Staphylococcus aureus on fresh spinach Pesticides: organophosphorus & sulfur-containing pesticides, tricyclazole, malathion, imidacloprid Restricted antibiotics: enrofloxacin, ciprofloxacin and chloramphenicol

Page 13 SILICON NITRIDE PICs Silicon nitride (Si3N4) is an

visible light due to its low propagation loss at these

Si3N4 circuits are designed by interconnecting different

a scalable and lowcost manufacturing technique used in CMOS

13 Page 13 SILICON NITRIDE PICs Silicon nitride (Si3N4) is an excellent substrate material to build PICs operating with visible light due to its low propagation loss at these wavelengths. Si3N4 circuits are designed by interconnecting different functional building blocks, and later on fabricated on wafers, a scalable and lowcost manufacturing technique used in CMOS electronics. After fabrication, they are tested and put into a miniaturized assembly, with a housing, optical fibers, electrical interfaces, etc.

14 Page 14 A European Pilot Line Development of Si3N4 Photonic Integrated Circuits Consortium of 14 European companies and institutions bridging the gap between research and industry. Applied to life sciences applications

Build and validate an open access platform and business model, driven both by internal users and external customer requirements.

15 Page 15 Mature Si3N4 PIC technology for visible wavelengths, allowing for low-cost Multi Project Wafers for prototyping with generic building blocks and interfaces. Build and validate an open access platform and business model, driven both by internal users and external customer requirements. PIX4life goals User 1 User 2 User 3 User 4 Internal demos External users Develop a full value chain to develop Si3N4 PICs, targeting life sciences applications: from design to component characterization guided by well chosen demonstrator specifications.

16 Technology providers Page 16 Fabrication of Si3N4 PICs Software tools to design PICs Services for designing and testing of PICs Packaging of PICs

17 Page 17 PIX4life internal demos Flow cytometer OCT imager on chip Gas/Bio multi-sensor Multispectral light source

18 Access for external users Page 18 1 Express your interest through our website: Or info@pix4life.eu 2 Sign a NDA, share the details of your application, and get feedback from the pilot line for its implementation. 3 4 Engage into a MPW run, with support on software, circuit design, test and assembly. Get your PIC prototypes developed at a subsidized cost, and ready to scale up for production.

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MidInfrared Sensors for Pathogen Detection

MidInfrared Sensors for Pathogen Detection PIs: Dr. L. Mauer, Dr. B. Reuhs, Dr. J. Irudayaraj Co-PIs: Dr. M. Cousin, Dr. C. DebRoy, Dr. S. Krishnan, Dr. J. Gore, Dr. J. Bouldin Research Associates: Dr.